Renenewable_energy_forecasting

A project developed for a seminar Machine Learning in Renewable Energy Systems in SS2024 at University of Tübingen. A report can be found here.

How to run

1. Install a new conda environment from a provided environment.yml file and activate it.

conda env create -f environment.yml

conda activate ml_renewable_es

2. Data can be dowloaded here. Make a data folder in the root of the repo and put data there.
3. To run the notebooks navigate to the notebooks folder.

Credits

Okan Coskun (University of Tübingen) for the location.ipynb notebook. Filip Radović (University of Tübingen) for the code snippets for the data pre-processing.